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ShanghaiTech University Knowledge Management System
Myoelectric fatigue and motor-unit firing patterns during sinusoidal vibration superimposed on low-intensity isometric contraction | |
2024-09 | |
发表期刊 | IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (IF:4.8[JCR-2023],5.4[5-Year]) |
ISSN | 1534-4320 |
EISSN | 1558-0210 |
卷号 | PP期号:99页码:3773-3781 |
发表状态 | 已发表 |
DOI | 10.1109/TNSRE.2024.3471856 |
摘要 | Vibration exercise (VE) has shown promising results for improving muscle strength and power performance when superimposed on high-level muscle contraction. However, lowlevel contraction may be more preferable in many rehabilitation programs due to the weakness of the patients. Unfortunately, the effects and underlying physiological mechanisms of VE superimposed on low-level contraction are unclear. This study aims to investigate the fatiguing effects and motor unit (MU) firing patterns during VE with low-level muscle contraction. Twenty-one healthy participants performed 60-s isometric contraction of the upper limb under a baseline force at 30% maximum voluntary contraction and superimposed vibration with an amplitude of 50% baseline and different frequencies at 0 Hz (control), 15, 25, 35, and 45 Hz. High-density surface electromyography (EMG) was recorded on the biceps brachii. The decay in muscle fiber conduction velocity, calculated in 3-s sliding windows, was employed as an indicator of myoelectric fatigue. MU firing patterns were obtained by decomposing the high-density EMG into MU spike trains. VE, particularly at 25 Hz, produces increased myoelectric fatigue as compared to the control condition. Besides, synchronized MU discharges are observed at the vibration frequency for 15- and 25-Hz VE and the sub-harmonics for 35- and 45-Hz VE. Furthermore, VE-induced increase in MU synchronization (as compared to control) seems to decrease with myoelectric fatigue. Significance: Our findings suggest that VE may be a suitable modality for rehabilitation programs, providing useful insights for subscribing appropriate VE training protocols. |
关键词 | Electromyography Human rehabilitation equipment Patient rehabilitation Physiological models Density surfaces Firing rates High-density surface electromyography Isometric contractions Motor unit Motor unit firing patterns Motor unit firing rate Myoelectric fatigue Surface electromyography Vibratory force stimulation |
URL | 查看原文 |
收录类别 | SCI ; EI |
语种 | 英语 |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
EI入藏号 | 20244117179807 |
EI主题词 | Blind source separation |
EI分类号 | 101.1 ; 101.2.1 ; 101.6 ; 101.6.1 ; 102.1 ; 1106.2 ; 716.1 Information Theory and Signal Processing ; 746 Imaging Techniques |
原始文献类型 | Article in Press |
来源库 | IEEE |
文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/427504 |
专题 | 信息科学与技术学院_博士生 信息科学与技术学院_硕士生 信息科学与技术学院_PI研究组_徐林组 |
共同第一作者 | Xu, Yaodan |
通讯作者 | Xu L(徐林) |
作者单位 | 1.School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China 2.Shanghai Advanced Research Institute, Chinese Academy of Sciences. 3.University of Chinese Academy of Science. 4.Shanghai Frontiers Science Center of Human-centered Artificial Intelligence, Shanghai 201210,China. 5.MoE Key Laboratory of Intelligent Perception and Human-Machine Collaboration, Shanghai 201210, China. |
第一作者单位 | 信息科学与技术学院 |
通讯作者单位 | 信息科学与技术学院 |
第一作者的第一单位 | 信息科学与技术学院 |
推荐引用方式 GB/T 7714 | Du, Zuyu,Xu, Yaodan,Cheng, Anyi,et al. Myoelectric fatigue and motor-unit firing patterns during sinusoidal vibration superimposed on low-intensity isometric contraction[J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,2024,PP(99):3773-3781. |
APA | Du, Zuyu,Xu, Yaodan,Cheng, Anyi,Jin, Yibin,&Xu L.(2024).Myoelectric fatigue and motor-unit firing patterns during sinusoidal vibration superimposed on low-intensity isometric contraction.IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,PP(99),3773-3781. |
MLA | Du, Zuyu,et al."Myoelectric fatigue and motor-unit firing patterns during sinusoidal vibration superimposed on low-intensity isometric contraction".IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING PP.99(2024):3773-3781. |
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